Keras' 'normal' LSTM uses the GPU?












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I'm running Keras' LSTM (not CuDNNLSTM) but I notice my GPU is under load. I need recurrent dropout, so I can only stick with LSTM. Is the 'normal' LSTM assisted by GPU? If so, how are LSTM and CuDNNLSTM different? I presume CuDNNLSTM uses the CUDNN API (and LSTM doesn't?



Similarly, is the normal LSTM supposed to be faster running on GPU or CPU?










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$endgroup$

















    0












    $begingroup$


    I'm running Keras' LSTM (not CuDNNLSTM) but I notice my GPU is under load. I need recurrent dropout, so I can only stick with LSTM. Is the 'normal' LSTM assisted by GPU? If so, how are LSTM and CuDNNLSTM different? I presume CuDNNLSTM uses the CUDNN API (and LSTM doesn't?



    Similarly, is the normal LSTM supposed to be faster running on GPU or CPU?










    share|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      I'm running Keras' LSTM (not CuDNNLSTM) but I notice my GPU is under load. I need recurrent dropout, so I can only stick with LSTM. Is the 'normal' LSTM assisted by GPU? If so, how are LSTM and CuDNNLSTM different? I presume CuDNNLSTM uses the CUDNN API (and LSTM doesn't?



      Similarly, is the normal LSTM supposed to be faster running on GPU or CPU?










      share|improve this question









      $endgroup$




      I'm running Keras' LSTM (not CuDNNLSTM) but I notice my GPU is under load. I need recurrent dropout, so I can only stick with LSTM. Is the 'normal' LSTM assisted by GPU? If so, how are LSTM and CuDNNLSTM different? I presume CuDNNLSTM uses the CUDNN API (and LSTM doesn't?



      Similarly, is the normal LSTM supposed to be faster running on GPU or CPU?







      keras tensorflow lstm






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked 13 mins ago









      John M.John M.

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      1283






















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